For semantic mapping on Gibson, we finetune a COCO-pretrained Mask-RCNN [1]} on images from the training split of Gibson tiny with 15 object categories from [2]}. For semantic mapping on MP3D, we use a RedNet [3]} segmentation model that is trained in [4]}, and predict 21 object categories.
